package com.coincalf.exchange.config;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

/**
 * @Descrition:
 * @Author: Chen Long
 * @Date: Created in 2018/2/4 下午7:49
 * @Modified by:
 */
@Configuration
@EnableAsync
public class TaskExecutePool {

    @Autowired
    private TaskThreadPoolConfig config;

    /**
     * 币币交易撮合
     *
     * @return
     */
    @Bean
    public Executor tradeMatchTaskAsyncPool() {
        return this.getTaskExecutor("TradeMatchExecutor-");
    }

    /**
     * 创新交易撮合
     *
     * @return
     */
    @Bean
    public Executor forexMatchTaskAsyncPool() {
        return this.getTaskExecutor("ForexMatchExecutor-");
    }

    /**
     * 创新交易撮合
     *
     * @return
     */
    @Bean
    public Executor modifyAccountTaskAsyncPool() {
        return this.getTaskExecutor("modifyAccountExecutor-");
    }

    private Executor getTaskExecutor(String name) {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(config.getCorePoolSize());
        executor.setMaxPoolSize(config.getMaxPoolSize());
        executor.setQueueCapacity(config.getQueueCapacity());
        executor.setKeepAliveSeconds(config.getKeepAliveSeconds());
        executor.setThreadNamePrefix(name);
        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
        // CALLER_RUNS：不在新线程中执行任务，而是由调用者所在的线程来执行
        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
        executor.initialize();
        return executor;
    }

}
